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I am a versatile ML engineer with a strong track record of building end-to-end ML pipelines for fraud detection, customer segmentation, and credit risk prediction. I design and deploy production-grade models using PyTorch, SageMaker, and Apache Spark to scale analytics across large datasets. I thrive in cross-functional teams, translating business problems into data-driven solutions, and I focus on MLOps, monitoring, explainability, and secure data architectures to ensure reliable, compliant analytics.…I am a versatile ML engineer with a strong track record of building end-to-end ML pipelines for fraud detection, customer segmentation, and credit risk prediction. I design and deploy production-grade models using PyTorch, SageMaker, and Apache Spark to scale analytics across large datasets. I thrive in cross-functional teams, translating business problems into data-driven solutions, and I focus on MLOps, monitoring, explainability, and secure data architectures to ensure reliable, compliant analytics.

Vikranth Reddy Gurram

Data Scientist, AI Engineer, Full Stack Developer, +2

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I am a versatile ML engineer with a strong track record of building end-to-end ML pipelines for fraud detection, customer segmentation, and credit risk prediction. I design and deploy production-grade models using PyTorch, SageMaker, and Apache Spark to scale analytics across large datasets. I thrive in cross-functional teams, translating business problems into data-driven solutions, and I focus on MLOps, monitoring, explainability, and secure data architectures to ensure reliable, compliant analytics.…I am a versatile ML engineer with a strong track record of building end-to-end ML pipelines for fraud detection, customer segmentation, and credit risk prediction. I design and deploy production-grade models using PyTorch, SageMaker, and Apache Spark to scale analytics across large datasets. I thrive in cross-functional teams, translating business problems into data-driven solutions, and I focus on MLOps, monitoring, explainability, and secure data architectures to ensure reliable, compliant analytics.

Available to hire

I am a versatile ML engineer with a strong track record of building end-to-end ML pipelines for fraud detection, customer segmentation, and credit risk prediction. I design and deploy production-grade models using PyTorch, SageMaker, and Apache Spark to scale analytics across large datasets.

I thrive in cross-functional teams, translating business problems into data-driven solutions, and I focus on MLOps, monitoring, explainability, and secure data architectures to ensure reliable, compliant analytics.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Machine Learning Engineer at Fidelity

May 1, 2023 - November 11, 2025

Led the design and deployment of end-to-end ML pipelines for fraud detection, customer segmentation, and credit risk prediction using PyTorch, SageMaker, and Apache Spark.

Software Development Engineer I at Amazon, Inc.

March 1, 2023 - March 1, 2023

Built and integrated BERT-based sentiment analysis models into Amazon’s relevance and ranking system; developed scalable ETL pipelines using PySpark and AWS S3; collaborated to implement automated ML pipelines for training and evaluation.

Data Analyst – Intern at UpenGroup, Inc.

April 1, 2021 - April 1, 2021

Collaborated with data engineers to process and integrate large-scale, multi-source datasets; built and optimized data transformation models to cleanse and standardize raw data, increasing accuracy.

Associate Software Engineer - Technology at Virtusa

May 1, 2019 - May 1, 2019

Designed data models for customer behavior prediction; built and maintained ETL workflows in Python and SQL to clean, validate, and prepare large datasets for predictive modeling and reporting.